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Table 1 Accuracy (mean±standard deviation) of GM-SMCC and EGM-SMCC against different label ratio on problem (1) of KDD Cup 2001.

From: Semi-supervised multi-label collective classification ensemble for functional genomics

label ratio GM-SMCC-1 GM-SMCC-2 GM-SMCC-3 GM-SMCC-mean EGM-SMCC
3% 0.827 ± 0.031 0.805 ± 0.009 0.771 ± 0.008 0.789 ± 0.007 0.834 ± 0.020
4% 0.833 ± 0.021 0.813 ± 0.026 0.805 ± 0.016 0.800 ± 0.006 0.845 ± 0.027
5% 0.843 ± 0.008 0.802 ± 0.018 0.804 ± 0.024 0.803 ± 0.016 0.843 ± 0.012
6% 0.846 ± 0.004 0.807 ± 0.023 0.790 ± 0.017 0.818 ± 0.003 0.849 ± 0.013
7% 0.846 ± 0.002 0.827 ± 0.018 0.812 ± 0.019 0.845 ± 0.005 0.868 ± 0.013
8% 0.852 ± 0.002 0.813 ± 0.011 0.817 ± 0.030 0.845 ± 0.002 0.860 ± 0.008
9% 0.857 ± 0.020 0.831 ± 0.014 0.826 ± 0.022 0.853 ± 0.004 0.872 ± 0.011
10% 0.858 ± 0.017 0.831 ± 0.014 0.846 ± 0.012 0.855 ± 0.007 0.874 ± 0.006